Xin Chen

8351672, Jan 8, 2013

Sep 26, 2007

11/861791

Yang Tao - North Potomac MD, US
Xin Chen - Gaithersburg MD, US
Hansong Jing - Hyatsville MD, US
Bin Zhu - College Park MD, US
Fenghua Jin - Beltsville MD, US

Industry Vision Automation Corp. - Gaithersburg MD

G06K 9/00

382132, 382141, 250370, 250484

A combined X-ray and laser 3D imaging system for food safety inspection, which uses a 3D laser subsystem to get accurate depth information, which is further combined with an x-ray image to achieve accurate physical contamination detection in poultry and other meat products. A unique calibration model is used to calibrate the x-ray and laser 3D imaging systems at the same time. And a nested multi-thread software structure is implemented to prevent data conflict and ensure fully use of system resources during the physical contamination detection of the poultry and other meat products.

20200160733, May 21, 2020

Nov 14, 2019

16/684194

- Springfield VA, US
Tarek Shalaby - Alexandria VA, US
Amaury Rolin - Charlottesville VA, US
Sajjad Meymand - McLean VA, US
Jeffrey Bloom - Silver Spring MD, US
Anthony Kim - Fairfax VA, US
Humberto Fernandez - Annandale VA, US
Zhipeng Liu - Great Falls VA, US
Samson Yilma - Arlington VA, US
Xin Chen - Rockville MD, US

G08G 5/00
B64C 39/02
G06K 9/00
B61L 23/04

A method for autonomously navigating an aerial vehicle along a railroad track includes obtaining, from one or more cameras coupled to the aerial vehicle, image data reproducible as an image of a portion of the railroad track, identifying, based at least in part on the image data, a first rail and a second rail of the portion of the railroad track, determining, based at least in part on the identified first and second rails of the portion of the railroad track, a centerline of the portion of the railroad track, and generating, based at least in part on the determined centerline, flight instructions to cause the aerial vehicle to move relative to the railroad track.

20190230972, Aug 1, 2019

Apr 8, 2019

16/377946

- Watsonville CA, US
John Lin - Cabin John MD, US
Xin Chen - Rockville MD, US
Gary E. Seibel - Taylorsville MD, US

California Strawberry Commission - Watsonville CA

A23N 15/02
B26F 3/00
B26D 7/06
B26D 5/00
A23L 19/00
B26D 5/34

A system and methods are provided for removal of undesired portions of a fruit or vegetable, such as removal of calyxes from strawberries before they are flash frozen. An automated process for high-throughput fruit or vegetable calyx removal includes a loading system, an identification system, and a removal system. The loading system is configured to transport the fruit or vegetable through the automated process. The loading system may also orient the fruits or vegetables along an axis of the fruit and or align the fruit or vegetables in a desired pattern, orientation, and/or arrangement. The identification system is configured to locate the calyx and determines calyx position data and an optimal cutting path for individual fruit. The removal system uses data received from the identification system to separate the calyx from the fruit or vegetable.

20160255873, Sep 8, 2016

May 11, 2016

15/152400

Yang Tao - North Potomac MD, US
John Lin - Cabin John MD, US
Xin Chen - Rockville MD, US
Gary E. Seibel - Taylorsville MD, US

A23N 15/02
B26D 7/06
B26F 3/00
B26D 5/00

A system and methods are provided for removal of undesired portions of a fruit or vegetable, such as removal of calyxes from strawberries before they are flash frozen. An automated process for high-throughput fruit or vegetable calyx removal includes a loading system, an identification system, and a removal system. The loading system is configured to transport the fruit or vegetable through the automated process. The loading system may also orient the fruits or vegetables along an axis of the fruit and or align the fruit or vegetables in a desired pattern, orientation, and/or arrangement. The identification system is configured to locate the calyx and determines calyx position data and an optimal cutting path for individual fruit. The removal system uses data received from the identification system to separate the calyx from the fruit or vegetable.

20140272055, Sep 18, 2014

Mar 14, 2014

14/212181

Yang Tao - North Potomac MD, US
John Lin - Cabin John MD, US
Xin Chen - Rockville MD, US
Gary E. Seibel - Taylorsville MD, US

A23N 15/02
A23L 1/212

426484, 99489

A process for automated high-throughput fruit or vegetable calyx removal includes a material handling system, a vision system, and a cutting system. The material handling system is capable of transporting the fruit or vegetable through the automated process. The material handling system may also orient the fruits or vegetables along an axis of the fruit and or align the fruit or vegetables in a desired pattern, orientation, and/or configuration. The vision system identifies the calyx and determines calyx position data and optimal cutting angle for individual fruit. The cutting system uses data received from the vision system to automatically remove the calyx from the fruit or vegetables.